منابع مشابه
Evaluating map reduce tasks scheduling algorithms over cloud computing infrastructure
Efficiently scheduling MapReduce tasks is considered as one of the major challenges that face MapReduce frameworks. Many algorithms were introduced to tackle this issue. Most of these algorithms are focusing on the data locality property for tasks scheduling. The data locality may cause less physical resources utilization in non-virtualized clusters and more power consumption. Virtualized clust...
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Despite increasing data volumes much faster than compute power. This growth demands new strategies for processing and analyzing information. Organizations are determining that significant forecasting can be through sorting and analyze Big Data. Ever since a large amount of data is "amorphous", it should be structured in a manner which is appropriate for mining and succeeding analysis. Hadoop he...
متن کاملA scalable Map Reduce tasks scheduling: a threading-based approach
The Map Reduce paradigm is now considered a standard platform that is used for large-scale data processing and management. A major operation that the Map Reduce platform relies on greatly is tasks scheduling. Although many schedulers have been presented, task scheduling is still one of the major problems that face Map Reduce frameworks. Schedulers need to maintain data locality to achieve an ac...
متن کاملClassification Algorithms for Big Data Analysis, a Map Reduce Approach
Since many years ago, the scientific community is concerned about how to increase the accuracy of different classification methods, and major achievements have been made so far. Besides this issue, the increasing amount of data that is being generated every day by remote sensors raises more challenges to be overcome. In this work, a tool within the scope of InterIMAGE Cloud Platform (ICP), whic...
متن کاملParallelization of genetic algorithms using Hadoop Map/Reduce
In this paper we present parallel implementation of genetic algorithm using map/reduce programming paradigm. Hadoop implementation of map/reduce library is used for this purpose. We compare our implementation with implementation presented in [1]. These two implementations are compared in solving One Max (Bit counting) problem. The comparison criteria between implementations are fitness converge...
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ژورنال
عنوان ژورنال: International Journal on Recent and Innovation Trends in Computing and Communication
سال: 2019
ISSN: 2321-8169
DOI: 10.17762/ijritcc.v7i8.5342